residuals.lmList            package:nlme            R Documentation

_E_x_t_r_a_c_t _l_m_L_i_s_t _R_e_s_i_d_u_a_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     The residuals are extracted from each 'lm' component of 'object'
     and arranged into a list with as many components as 'object', or
     combined into a single vector.

_U_s_a_g_e:

     ## S3 method for class 'lmList':
     residuals(object, type, subset, asList, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'lmList', representing a list
          of 'lm' objects with a common model. 

  subset: an optional character or integer vector naming the 'lm'
          components of 'object' from which the residuals  are to be
          extracted. Default is 'NULL', in which case all components
          are used. 

    type: an optional character string specifying the type of residuals
          to be extracted. Options include '"response"' for the "raw"
          residuals (observed - fitted), '"pearson"' for the
          standardized residuals (raw residuals divided by the
          estimated residual standard error) using different standard
          errors for each 'lm' fit, and '"pooled.pearson"' for the
          standardized residuals using a pooled estimate of the
          residual standard error. Partial matching of arguments is
          used, so only the first  character needs to be provided.
          Defaults to '"response"'. 

  asList: an optional logical value. If 'TRUE', the returned object is
          a list with the residuals split by groups; else the returned
          value is a vector. Defaults to 'FALSE'. 

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     a list with components given by the residuals of each 'lm'
     component of 'object', or a vector with the residuals for all 'lm'
     components of 'object'.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'lmList', 'fitted.lmList'

_E_x_a_m_p_l_e_s:

     data(Orthodont)
     fm1 <- lmList(distance ~ age | Subject, Orthodont)
     residuals(fm1)

